Abstract:

With the rapid development of domestic tourism,forest park has become the choice of more tourists because of its good resources.Using the Baidu index platform to obtain various search index,this paper studied the correlation of search index and forest park passenger flow,as well as the factors affecting forest park passenger flow.The results showed that there was a coupling between forest park and the search index.Multiple linear regression analysis method was used to estimate the main factors affecting the forest park passenger flow in various regions,including search index.The results showed that the main factors of forest park passenger flow were GDP and forest park resource abundance,thus it can be seen that the better economic and resource conditions of the region were associated with the greater forest park passenger flow.Through the analysis of Baidu Index and Forest Park traffic scatter plot,it was obvious that the correlation between the output and the input area of the tourists is obviously different.The results of this study will be helpful to guide the development plan of forest park and the operation decision of forest park management department.

Key words: Baidu Index, forest park, passenger flow, impact factor